Conviértase en un experto en la nube con capacitaciones prácticas.

OK Google: Build Interactive Apps with Google Assistant

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

NCAA® March Madness®: Bracketology with Google Cloud

In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

App Modernization with Apigee

Si usted es un desarrollador nube novato en busca de práctica en la práctica más allá de Fundamentos de GCP, esta búsqueda es para usted. Obtendrá experiencia práctica a través de laboratorios que se sumergen en la nube de almacenamiento y otros servicios de aplicaciones clave como Stackdriver y Funciones de la nube. Al tomar esta búsqueda, se desarrollarán las habilidades valiosas que son aplicables a cualquier iniciativa GCP. vídeos de 1 minuto que caminan a través de conceptos clave para estos laboratorios.

Kubernetes en el Google Cloud

Kubernetes es el sistema de la orquestación de contenedores más popular y el Google Kubernetes motor fue diseñado despliegues Kubernetes específicamente para apoyar gestionados en la nube Google. En esta búsqueda de nivel avanzado, obtendrá práctica en la práctica de configurar imágenes y contenedores estibador, y el despliegue de aplicaciones de pleno derecho del motor Kubernetes. Esta búsqueda le enseñará las habilidades prácticas necesarias para la integración de la orquestación recipiente en su propio flujo de trabajo.

Challenge: GCP Architecture

En esta quest de “Labs de desafío”, los estudiantes podrán adquirir experiencia práctica como preparación para el examen de certificación como Google Cloud Certified Professional Cloud Architect mediante soluciones tecnológicas o comerciales comunes que utilizan las arquitecturas de GCP. Los labs de desafío no ofrecen guías paso a paso, sino que requieren la creación de soluciones con un nivel mínimo de orientación en varias herramientas tecnológicas de GCP. Todos los labs tienen monitoreo de actividad y se debe obtener una puntuación del 100% en cada uno de ellos para recibir la insignia. Esta quest es muy compleja y pondrá a prueba sus habilidades con la tecnología de GCP. Tenga en cuenta que, aunque realizar estos labs le permitirá aumentar sus conocimientos y habilidades, también le recomendamos que se prepare con otros cursos y actividades, y adquiera experiencia en arquitectura de nube.

G Suite: Integrations

This Quest of hands-on labs demonstrates the power of integrating Google Cloud Platform services and tools with G Suite applications. With integration technologies such as App Script and the Clasp Command Line environment, you will create and publish web apps and add-ons for G Suite products: Sheets, Docs, Forms, and Slides. With App Maker you will build a ready-to-use app that has a Google Cloud SQL Database, Google Maps integration, and a Mobile Responsive Design. Other labs create direct connections to GCP data sources-- using the BigQuery API, Sheets, and Slides to collect, analyze and present data.

Networking in the Google Cloud

Networking is a principle theme of cloud computing—it’s the underlying structure of GCP and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential GCP networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Networking in the Google Cloud will give you the practical experience needed so you can start building robust networks right away.

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Introduction to Amazon EC2 Auto Scaling

This lab provides the basic hands-on experience of Amazon EC2 Auto Scaling -- setting up Auto Scaling to automatically launch compute instances in response to conditions that you specify. You will use Auto Scaling via the AWS console to create the basic infrastructure of a Launch Configuration and an Auto Scaling group. You will test the configuration by terminating a running instance and viewing the results as Auto Scaling responds by scaling up and starting another instance.

For the lab to function as written, please DO NOT change the auto assigned region.

Exploring Google Ngrams with Amazon EMR

This lab demonstrates how to launch an Amazon Elastic MapReduce (EMR) cluster for Big Data processing and use Hive with SQL-style queries to analyze data. You will create a Hadoop cluster using Amazon EMR which will allow to run interactive Hive queries against data stored in Amazon S3. You will use Hive to normalize the data in a more useful way, and you will run queries to analyze the data.

Introduction to Amazon Simple Storage Service (S3)

This lab demonstrates how to use an Amazon S3 bucket and manage files, or object, that are stored in the bucket. You will practice how to create a bucket, add an object, view an object, move an object, and delete an object and bucket in the AWS Management Console.

Introduction to AWS Identity and Access Management (IAM)

This lab shows you how to manage access and permissions to your AWS services using AWS Identity and Access Management (IAM). Practice the steps to add users to groups, manage passwords, log in with IAM-created users, and see the effects of IAM policies on access to specific services.

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Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

In this lab you will use GCP services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.

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Using Windows Server Storage Spaces with Amazon EBS

This lab leads you through the steps to launch an Amazon Elastic Compute Cloud (EC2) instance using an Amazon Machine Image (AMI), add multiple disks to the instance, and build a tiered storage pool with SSD and magnetic volumes. You will also create a virtual disk using the storage pool. At the end of this lab, you will understand how to build a virtual disk pool with different storage tiers using Amazon EBS and Windows Storage Spaces and see how to connect to Storage Spaces from another machine via iSCSI.

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Introduction to git and GitHub

For this lab, you will assume a documentation persona responsible for product guides at your organization. There's a release next month, so you need to update a product guide in preparation for the release.

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Video on Demand with AWS Elemental MediaConvert

In this lab, you will utilize the AWS Elemental MediaConvert Service to convert input video into multiple output formats, combine multiple videos into one during the conversion process, add captions/watermarks to the videos, and work with ad insertion metadata.

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Bracketology with Google Machine Learning

In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

Highly Rated